---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- xsum
metrics:
- rouge
model-index:
- name: textGeneration_06
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: xsum
      type: xsum
      config: default
      split: validation
      args: default
    metrics:
    - name: Rouge1
      type: rouge
      value: 12.1154
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# textGeneration_06

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the xsum dataset.
It achieves the following results on the evaluation set:
- Loss: 3.7405
- Rouge1: 12.1154
- Rouge2: 1.7291
- Rougel: 9.4055
- Rougelsum: 11.035
- Gen Len: 937.368

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:---------:|:-------:|
| 4.2168        | 1.0   | 1250 | 3.8405          | 12.1695 | 1.7457 | 9.3821 | 11.0907   | 896.12  |
| 4.1005        | 2.0   | 2500 | 3.7840          | 11.933  | 1.7034 | 9.3269 | 10.8944   | 938.399 |
| 4.0678        | 3.0   | 3750 | 3.7579          | 12.0066 | 1.7388 | 9.3301 | 10.9558   | 936.662 |
| 4.0411        | 4.0   | 5000 | 3.7445          | 12.0542 | 1.7188 | 9.4032 | 11.0116   | 932.645 |
| 4.0359        | 5.0   | 6250 | 3.7405          | 12.1154 | 1.7291 | 9.4055 | 11.035    | 937.368 |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3